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Video Object Segmentation (VOS) is typically formulated in a semi-supervised setting. Given the ground-truth segmentation mask on the first frame, the task of VOS is to track and segment the single or multiple objects of interests in the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-16 Kaihua Zhang , Long Wang , Dong Liu , Bo Liu , Qingshan Liu , Zhu Li

Service robots that work alongside humans in a shared environment need a navigation system that takes into account not only physical safety but also social norms for mutual cooperation. In this paper, we introduce a motion planning system…

In IoT based distributed network of cameras, real-time multi-camera video analytics is challenged by high bandwidth demands and redundant visual data, creating a fundamental tension where reducing data saves network overhead but can degrade…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Ragini Gupta , Lingzhi Zhao , Jiaxi Li , Volodymyr Vakhniuk , Claudiu Danilov , Josh Eckhardt , Keyshla Bernard , Klara Nahrstedt

Understanding temporal information and how the visual world changes over time is a fundamental ability of intelligent systems. In video understanding, temporal information is at the core of many current challenges, including compression,…

Computer Vision and Pattern Recognition · Computer Science 2019-10-31 Laura Sevilla-Lara , Shengxin Zha , Zhicheng Yan , Vedanuj Goswami , Matt Feiszli , Lorenzo Torresani

Collaborative path planning for robot swarms in complex, unknown environments without external positioning is a challenging problem. This requires robots to find safe directions based on real-time environmental observations, and to…

Robotics · Computer Science 2025-01-03 Chenxi Li , Weining Lu , Zhihao Ma , Litong Meng , Bin Liang

Abstract. Detecting anomalies in patterns of sensor data is important in many practical applications, including domestic activity monitoring for Active Assisted Living (AAL). How to represent and analyse these patterns, however, remains a…

Artificial Intelligence · Computer Science 2024-01-23 Manuel Fernandez-Carmona , Sariah Mghames , Nicola Bellotto

Real time outdoor navigation in highly dynamic environments is an crucial problem. The recent literature on real time static SLAM don't scale up to dynamic outdoor environments. Most of these methods assume moving objects as outliers or…

Computer Vision and Pattern Recognition · Computer Science 2016-08-04 N Dinesh Reddy , Iman Abbasnejad , Sheetal Reddy , Amit Kumar Mondal , Vindhya Devalla

With the global population ageing, it is crucial to enable individuals to live independently and safely in their homes. Using ubiquitous sensors such as Passive InfraRed sensors (PIR) and door sensors is drawing increasing interest for…

Machine Learning · Computer Science 2026-01-21 Marina Vicini , Martin Rudorfer , Zhuangzhuang Dai , Luis J. Manso

Segmentation of an object from a video is a challenging task in multimedia applications. Depending on the application, automatic or interactive methods are desired; however, regardless of the application type, efficient computation of video…

Computer Vision and Pattern Recognition · Computer Science 2014-10-28 Ozan Sener , Kemal Ugur , A. Aydin Alatan

This paper considers the problem of real-time mode scheduling in linear time-varying switched systems subject to a quadratic cost functional. The execution time of hybrid control algorithms is often prohibitive for real-time applications…

Optimization and Control · Mathematics 2017-09-04 Anastasia Mavrommati , Jarvis A. Schultz , Todd D. Murphey

Ensuring human safety in collaborative robotics can compromise efficiency because traditional safety measures increase robot cycle time when human interaction is frequent. This paper proposes a safety-aware approach to mitigate efficiency…

Robotics · Computer Science 2025-12-22 M. Faroni , A. Spano , A. M. Zanchettin , P. Rocco

This study aims to develop a real-time intersection optimization (RIO) control algorithm to efficiently serve traffic of Connected and Automated Vehicles (CAVs) and conventional vehicles (CNVs). This paper extends previous work to consider…

Signal Processing · Electrical Eng. & Systems 2020-07-09 Mahmoud Pourmehrab , Lily Elefteriadou , Sanjay Ranka

Time-to-contact (TTC), the time for an object to collide with the observer's plane, is a powerful tool for path planning: it is potentially more informative than the depth, velocity, and acceleration of objects in the scene -- even for…

Computer Vision and Pattern Recognition · Computer Science 2021-04-29 Abhishek Badki , Orazio Gallo , Jan Kautz , Pradeep Sen

Environment modeling utilizing sensor data fusion and object tracking is crucial for safe automated driving. In recent years, the classical occupancy grid map approach, which assumes a static environment, has been extended to dynamic…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Christopher Diehl , Eduard Feicho , Alexander Schwambach , Thomas Dammeier , Eric Mares , Torsten Bertram

It is well-known that a deep understanding of co-workers' behavior and preference is important for collaboration effectiveness. In this work, we present a method to accomplish smooth human-robot collaboration in close proximity by taking…

Robotics · Computer Science 2019-05-20 Xuan Zhao , Jia Pan

Collecting realistic driving trajectories is crucial for training machine learning models that imitate human driving behavior. Most of today's autonomous driving datasets contain only a few trajectories per location and are recorded with…

Robotics · Computer Science 2020-04-06 Dominik Notz , Felix Becker , Thomas Kühbeck , Daniel Watzenig

Visual repetition is ubiquitous in our world. It appears in human activity (sports, cooking), animal behavior (a bee's waggle dance), natural phenomena (leaves in the wind) and in urban environments (flashing lights). Estimating visual…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Tom F. H. Runia , Cees G. M. Snoek , Arnold W. M. Smeulders

The ever increasing adoption of mobile technologies and ubiquitous services allows to sense human behavior at unprecedented levels of details and scale. Wearable sensors are opening up a new window on human mobility and proximity at the…

Physics and Society · Physics 2015-06-15 Alain Barrat , Ciro Cattuto

Multi-robot systems are increasingly deployed in applications, such as intralogistics or autonomous delivery, where multiple robots collaborate to complete tasks efficiently. One of the key factors enabling their efficient cooperation is…

Robotics · Computer Science 2025-08-28 Maryam Kazemi Eskeri , Ville Kyrki , Dominik Baumann , Tomasz Piotr Kucner

This analysis explores the temporal sequencing of objects in a movie trailer. Temporal sequencing of objects in a movie trailer (e.g., a long shot of an object vs intermittent short shots) can convey information about the type of movie,…

Computer Vision and Pattern Recognition · Computer Science 2018-10-24 Cheng-Kang Hsieh , Miguel Campo , Abhinav Taliyan , Matt Nickens , Mitkumar Pandya , JJ Espinoza
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